Plasma Amino Acid and Performance Data for Lactating Dairy Cows from 22 Studies

A meta-analysis dataset compiled from 22 peer-reviewed studies published through March 2020, focusing on lactating dairy cows. The dataset, created by P. Letelier at the University of Wisconsin–Madison, aggregates 96 dietary treatments that report plasma essential amino acid concentrations, dietary intake, lactation performance, and blood urea nitrogen. Studies were sourced from Web of Science and Google Scholar using specific search terms and selection criteria.

Use Cases

• Meta-regression modeling to associate plasma essential amino acid (EAA) profiles with milk yield and components based on reported performance metrics.
• Hierarchical clustering of dietary treatments to identify patterns linking amino acid concentration to cow performance.
• Investigating the relationship between blood urea nitrogen and dietary protein intake across different studies.
• Developing predictive models for dairy cow performance using aggregated plasma EAA and intake data from multiple sources.

Strengths

• Data is derived from 22 peer-reviewed studies, suggesting a foundation in published research.
• Includes 96 distinct dietary treatment observations for analysis.
• Selection criteria were explicitly defined, including requirements for reporting all individual plasma EAA concentrations (excluding Tryptophan), DMI, and performance data.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for specific modeling tasks.
• Data may reflect publication bias inherent to meta-analyses from academic databases.

Provenance

Source

University of Wisconsin–Madison, P. Letelier

Collection Method

Systematic literature review of Web of Science and Google Scholar through March 2020, with papers filtered against six selection criteria.

Time Range

Studies published through March 2020.